Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/382474
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DC FieldValueLanguage
dc.coverage.spatialEconomics
dc.date.accessioned2022-05-26T10:31:52Z-
dc.date.available2022-05-26T10:31:52Z-
dc.identifier.urihttp://hdl.handle.net/10603/382474-
dc.description.abstractThe Greenhouse gas emissions had adversely affected the climate. Climate changehad negatively affected the yield of agriculture such as paddy, wheat, maize andSorghum(Venkateshwarlu (2017). The decline in the production and productivity ofagriculture due to climate change was expected to reduce the farmers income by 4.3 percentand 4.1 percent during khariff and rabi seasons in 2016. The projected demand for foodgrains in India to feed the growing population would be 333 million tonnes in 2050. Theactual food grains production in India was only 291 million tonnes in 2019. It showed thegap between the availability and demand for food grains production in India in future. In thisback drop, many studies (NirajPrakash et al, 2011, Louml,et al 2015, Gupta et al 2016,Joshi, Shobha,2016, Poudel and Rajib,2016, Maidual,2016) were attempted to assess theeconomic impact of climate change on agriculture in India . Limited studies (Joshi, NirajPrakash et al, 2011,ShobhaPoudel and Rajib,2016,) had assessed the impact of climatechange on individual food crops at macro level. They concentrated only on the short runrelationship . Limited studies (Gupta et al 2016, Maidual,2016,) analysed the long runrelationship between climatic factors and productivity of major food crops and tested thestationary of the variables in the long run relationship. In the present study, to fulfil theabove research gap, the selected climatic factors and productivity of food crops were testedfor stationary. The co integration analysis and vector error correction models were specifiedto assess the long run and short run relationship between climatic factors and productivity ofmajor food crops in India for the period 1970-2016, as they were the suitable models.The climatic factors and the yield of all food crops had exhibited co integration longrun relationship in the study period. The carbon emission positively influenced theproductivity paddy, wheat, jowar,bajra and total food crops while it had negative relationshipwith pulses in the long run.
dc.format.extent213 p.
dc.languageEnglish
dc.relation223
dc.rightsuniversity
dc.titleRelationship between Climate Change Green House Gas Emissions and Productivity of Major Food Crops in India Time Series Analysis
dc.title.alternative
dc.creator.researcherSeethalakshmi S
dc.subject.keywordSocial Sciences
dc.subject.keywordEconomics and Business
dc.subject.keywordEconomics
dc.description.note
dc.contributor.guideGandhimathi S
dc.publisher.placeCoimbatore
dc.publisher.universityAvinashilingam Institute for Home Science and Higher Education for Women
dc.publisher.institutionDepartment of Economics
dc.date.registered2018
dc.date.completed2021
dc.date.awarded2022
dc.format.dimensions210 mm X 290 mm
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Economics

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02_certificate and declaration.pdf165.27 kBAdobe PDFView/Open
03_acknowledgement.pdf138.95 kBAdobe PDFView/Open
04_contents.pdf200.85 kBAdobe PDFView/Open
05_abstract.pdf9.2 kBAdobe PDFView/Open
06_chapter 1.pdf632.94 kBAdobe PDFView/Open
07_chapter 2.pdf550.69 kBAdobe PDFView/Open
08_chapter 3.pdf679.79 kBAdobe PDFView/Open
09_chapter 4.pdf2.53 MBAdobe PDFView/Open
10_chapter 5.pdf481.77 kBAdobe PDFView/Open
11_references.pdf636.72 kBAdobe PDFView/Open
12_annexure.pdf495.55 kBAdobe PDFView/Open
80_recommendation.pdf311.54 kBAdobe PDFView/Open


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